Screenpipe Workflow Discovery

OrganizationPopular

screenpipe

screenpipe-workflow-discovery

Identify repeated work from recorded activity or starred examples and assess which steps could be automated.

Overview

Publisher	screenpipe
Repository	`screenpipe`
Skill name	`screenpipe-workflow-discovery`
Stars	21.9K
Forks	2.2K
Bundled files	Instructions only
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by screenpipe on GitHub. Read the source before you install it.

Installation

Install the Screenpipe Workflow Discovery AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/screenpipe/screenpipe/tree/main/crates/screenpipe-core/assets/skills/screenpipe-workflow-discovery
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/screenpipe/screenpipe/tree/main/crates/screenpipe-core/assets/skills/screenpipe-workflow-discovery

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/screenpipe/screenpipe.git /tmp/screenpipe
mkdir -p .claude/skills
cp -r /tmp/screenpipe/crates/screenpipe-core/assets/skills/screenpipe-workflow-discovery .claude/skills/screenpipe-workflow-discovery

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Screenpipe Workflow Discovery in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Screenpipe Workflow Discovery on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Screenpipe Workflow Discovery is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

workflow discovery

Resolve the work area and review period. Use screenpipe-api to find multiple distinct occurrences of a candidate workflow. Describe the trigger, inputs, observed steps, outputs, exceptions, and human decisions with source pointers.

Count independent occurrences, not repeated frames or repeated discussion of one occurrence. Separate observed steps from inferred steps. If timing matters, use authoritative active time where available and label missing coverage; frame counts are not effort.

Assess a small automation candidate by its available tools, permissions, reversible boundaries, and observable completion criterion. Identify the decisions that still require a person. Do not claim time savings without a baseline or create a schedule, integration, or external action merely from discovering a pattern.

For starred work, retrieve captured evidence directly with screenpipe-api's starred-only search and a bounded time range. For broader workflow review, use the activity summary's starred intervals to prioritize existing evidence; retrieve missing steps only when needed. A star indicates intent, not repetition, completion or time savings. Do not add interval history to standing prompts.

Frequently asked questions

What does the Screenpipe Workflow Discovery AI skill do?

Identify repeated work from recorded activity or starred examples and assess which steps could be automated.

Why use Screenpipe Workflow Discovery on TypingMind?

Because you install it once and use it with any model. Screenpipe Workflow Discovery is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Screenpipe Workflow Discovery in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/screenpipe/screenpipe/tree/main/crates/screenpipe-core/assets/skills/screenpipe-workflow-discovery. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Screenpipe Workflow Discovery?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Screenpipe Workflow Discovery?

As many as you like. As long as a model supports skills, you can use Screenpipe Workflow Discovery with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Screenpipe Workflow Discovery AI skill free?

It is published on GitHub by screenpipe. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

workflow discovery

Frequently asked questions

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